Research on the generation and annotation method of thin section images of tight oil reservoir based on deep learning

Research on the generation and annotation method of thin section images of tight oil reservoir based on deep learning

Abstract The cast thin sections of tight oil reservoirs contain important parameters such as rock mineral composition and content, porosity, permeability and stratigraphic characteristics, which are of great significance for reservoir evaluation. The use of deep learning technology for intelligent i...

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Bibliographic Details
Main Authors: Tao Liu, Zongbao Liu, Kejia Zhang, Chunsheng Li, Yan Zhang, Zihao Mu, Mengning Mu, Mengting Xu, Yue Zhang, Xue Li
Format: Article
Language:English
Published: Nature Portfolio 2024-06-01
Series:Scientific Reports
Subjects:
Tight oil reservoir
Cast thin section image
Deep learning
Image generation
Reservoir evaluation
Online Access:https://doi.org/10.1038/s41598-024-63430-z
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https://doi.org/10.1038/s41598-024-63430-z

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